Likert scaling using the graded response latent trait model

Abstract

The two-parameter graded response latent trait model was applied to data collected from a conventionally constructed Likert-type attitude scale. Comparisons were made of both the person latent trait estimates and the item parameter estimates with their counterparts from the conventional scaling method. Also studied were the goodness of fit of the graded response model and the information function feature of the model indicating the precision of measurement at each level of the attitude trait continuum. The results demonstrated that the graded response model could be successfully used to perform attitude measurement for Likert scales.